Cloud Data & AI Architect — Hybrid (Barcelona)

Zurich Insurance Group; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working model

Home office allowance

Extensive training programs

Health insurance

Descripción de la vacante

Zurich Insurance Group seeks a Data & AI Architect to design and lead data & AI solutions across cloud platforms, primarily AWS and Azure. You will guide architecture, collaborate with cross-functional teams, and ensure scalable, standards-aligned delivery.

In this role you’ll work in a hybrid Barcelona-based center with international teams, contributing to architecture boards and leveraging modern data tools. Fluency in English is essential.

Formación

• Bachelor’s or master’s degree in related field.
• Proven experience architecting data & AI solutions.
• Strong data modelling: 3NF, data vault, dimensional modelling.
• Experience with Azure/AWS data services and cloud platforms.
• Familiarity with CI/CD, IaC, and containerization.

Responsabilidades

• Design end-to-end data and AI architectures for cloud platforms.
• Provide guidance for scalable, enterprise-grade solutions.
• Collaborate with product and platform teams to align with standards.
• Translate designs into detailed technical specs and estimates.
• Contribute to architecture governance and documentation.

Conocimientos

Azure

AWS

Data Modeling

CI/CD

Python

SQL

Terraform

AKS/EKS

Power BI

Databricks

Educación

Bachelor's or Master's in Computer Science or related

Herramientas

Azure Data Factory

SSIS

Informatica

Databricks

Snowflake

AWS Glue

Terraform

Kubernetes

Descripción del empleo

Zurich Insurance Group seeks a Data & AI Architect to design and lead data & AI solutions across cloud platforms, primarily AWS and Azure. You will guide architecture, collaborate with cross-functional teams, and ensure scalable, standards-aligned delivery.

In this role you’ll work in a hybrid Barcelona-based center with international teams, contributing to architecture boards and leveraging modern data tools. Fluency in English is essential.